Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.02190.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T15:23:26.461740Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e644c632-24d0-4654-8ab7-026215f3ed96 · inbound
MONAI: An open-source framework for deep learning in healthcare cites this paper.
MONAI: An open-source framework for deep learning in healthcare Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:54:28.650281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2093fb9b-f65e-4218-b09e-29c6153270ad · inbound
Street-Legal Physical-World Adversarial Rim for License Plates cites this paper.
Street-Legal Physical-World Adversarial Rim for License Plates Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T21:23:17.205697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 793f6c18-4d57-477c-84fe-1a98b8e4fae0 · inbound
A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs cites this paper.
A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:26:17.825548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.